Xiaoqiang Lu
Computer Vision and Pattern Recognition · 2013–2019
A researcher in the Science corpus: 10 papers; trusts 1,007 researchers and is trusted by 59 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 336 citations into it; #3,988 of 21,575 by trust here, #3,404 by citations
- Media Technology — 205 citations into it; #332 of 3,621 by trust here, #195 by citations
- Artificial Intelligence — 86 citations into it
- Remote Sensing — 64 citations into it
- Atmospheric Science — 45 citations into it
- Representation & Self-Supervised Learning — 35 citations into it
- Model Architectures — 33 citations into it
- Natural Language Processing — 27 citations into it
Whom Xiaoqiang Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Karen Simonyan
- Andrew Zisserman
- Ilya Sutskever
- Kaiming He
- Yann LeCun
- Diederik P. Kingma
Who trusts Xiaoqiang Lu overall
- Wei Zhang
- F. Liu
- Vladan Stojnić
- Behnood Rasti
- Abdulaziz Amer Aleissaee
- Miaoxin Cai
- Delong Chen
- Zheng Zhang
- Di Wang
- Gong Cheng
Papers from Xiaoqiang Lu's perspective
Ordered by how strongly the researchers Xiaoqiang Lu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Remote Sensing Image Scene Classification: Benchmark and State of the Art (2017) — 2,849 citations
- AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification (2016) — 2,251 citations
- Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection (2019) — 338 citations
- MAM-RNN: Multi-level Attention Model Based RNN for Video Captioning (2017) — 99 citations
- Spectral-Spatial Attention Networks for Hyperspectral Image Classification (2019) — 570 citations
- Exploring Models and Data for Remote Sensing Image Caption Generation (2017) — 709 citations
- Deep semantic understanding of high resolution remote sensing image (2016) — 351 citations
- Local structure learning in high resolution remote sensing image retrieval (2016) — 44 citations
- Manifold Regularized Sparse NMF for Hyperspectral Unmixing (2013) — 385 citations
- Graph-Regularized Low-Rank Representation for Destriping of Hyperspectral Images (2013) — 317 citations